Christopher Secker

437 total citations
8 papers, 122 citations indexed

About

Christopher Secker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Christopher Secker has authored 8 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Christopher Secker's work include Mitochondrial Function and Pathology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Biotin and Related Studies (2 papers). Christopher Secker is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Biotin and Related Studies (2 papers). Christopher Secker collaborates with scholars based in Germany, United States and Austria. Christopher Secker's co-authors include Erich E. Wanker, Alexander Buntru, Craig C. Garner, Martina Zenkner, Lisa Diez, Philipp Trepte, Todd M. Greco, Jonas Leubner, Sigrid Schnoegl and Scott Zeitlin and has published in prestigious journals such as Journal of Molecular Biology, Annals of Neurology and Journal of Neurochemistry.

In The Last Decade

Christopher Secker

7 papers receiving 121 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Christopher Secker Germany	5	73	33	32	23	13	8	122
Simone Steinbach Germany	8	197 2.7×	52 1.6×	28 0.9×	30 1.3×	7 0.5×	15	297
Mara Zilocchi Canada	7	126 1.7×	55 1.7×	36 1.1×	10 0.4×	12 0.9×	15	212
Jiao Qin China	9	139 1.9×	13 0.4×	73 2.3×	39 1.7×	11 0.8×	16	265
Bekim Bajrami United States	10	109 1.5×	13 0.4×	13 0.4×	20 0.9×	10 0.8×	18	256
Arthur Viodé United States	9	83 1.1×	28 0.8×	16 0.5×	6 0.3×	11 0.8×	13	188
Zizheng Li United States	7	128 1.8×	21 0.6×	17 0.5×	37 1.6×	20 1.5×	14	202
Harris Bell‐Temin United States	8	85 1.2×	15 0.5×	22 0.7×	11 0.5×	8 0.6×	11	243
Hamad Yadikar Kuwait	7	104 1.4×	37 1.1×	14 0.4×	13 0.6×	3 0.2×	9	167
X. H. Liang China	9	104 1.4×	9 0.3×	19 0.6×	14 0.6×	14 1.1×	22	195
Ella Burchill United Kingdom	3	55 0.8×	31 0.9×	17 0.5×	11 0.5×	4 0.3×	11	95

Countries citing papers authored by Christopher Secker

Since Specialization

Citations

This map shows the geographic impact of Christopher Secker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher Secker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Secker more than expected).

Fields of papers citing papers by Christopher Secker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Secker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher Secker. The network helps show where Christopher Secker may publish in the future.

Co-authorship network of co-authors of Christopher Secker

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Secker. A scholar is included among the top collaborators of Christopher Secker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher Secker. Christopher Secker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Alteen, Matthew G., Justin C. Deme, P. Loppnau, et al.. (2023). Delineation of functional subdomains of Huntingtin protein and their interaction with HAP40. Structure. 31(9). 1121–1131.e6. 4 indexed citations

Secker, Christopher, Alexander Buntru, Annett Boeddrich, et al.. (2023). The polyphenol EGCG directly targets intracellular amyloid‐β aggregates and promotes their lysosomal degradation. Journal of Neurochemistry. 166(2). 294–317. 20 indexed citations

Secker, Christopher, et al.. (2023). Novel multi-objective affinity approach allows to identify pH-specific μ-opioid receptor agonists. Journal of Cheminformatics. 15(1). 85–85. 1 indexed citations

Greco, Todd M., Christopher Secker, Eduardo Silva Ramos, et al.. (2022). Dynamics of huntingtin protein interactions in the striatum identifies candidate modifiers of Huntington disease. Cell Systems. 13(4). 304–320.e5. 21 indexed citations

Secker, Christopher, et al.. (2021). CellFIE: CRISPR- and Cell Fusion-based Two-hybrid Interaction Mapping of Endogenous Proteins. Journal of Molecular Biology. 433(24). 167305–167305.

Wenke, Nina K., Jakob Kreye, Jonas Leubner, et al.. (2019). N‐methyl‐D‐aspartate receptor dysfunction by unmutated human antibodies against the NR1 subunit. Annals of Neurology. 85(5). 771–776. 32 indexed citations

Trepte, Philipp, Alexander Buntru, Christopher Secker, et al.. (2018). Lu TH y: a double‐readout bioluminescence‐based two‐hybrid technology for quantitative mapping of protein–protein interactions in mammalian cells. Molecular Systems Biology. 14(7). e8071–e8071. 25 indexed citations

Trepte, Philipp, Alexander Buntru, Anup Arumughan, et al.. (2015). DULIP: A Dual Luminescence-Based Co-Immunoprecipitation Assay for Interactome Mapping in Mammalian Cells. Journal of Molecular Biology. 427(21). 3375–3388. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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